Identifying Citizen Interests during the COVID-19 Pandemic Using Context Change in Twitter Conversations

Juan Carlos Garcia*, Xavier Figueroa, Carmen Vaca, Denisse Orozco, Gabriela Baquerizo-Neira, Priscilla Jimenez-Pazmino, Carlos Orellana Fantoni

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Events such as the recent COVID-19 pandemic tend to cause sudden shifts in people's conversations that go unnoticed by organizations at first glance. In this paper, we propose the Word Context Change metric (WCC) that detects semantic changes using a specific term during several periods by gathering users' conversations from Ecuador on Twitter (now X). We developed a machine learning model to classify tweets (now posts) based on the Oxford health policies before creating a time-Tagged corpus. Then, a temporal language representation based on word embeddings allows applying the WWC metric to determine context change relates to people's needs during the pandemic. Our experiments show that most of the emerging terms are related to Ecuador's political and health landscape during the first six months of the pandemic, while they have an emerging pattern like the search trends on Google one week ahead of the report. We conclude that our metric can anticipate text search patterns and behaviors that facilitate the identification of citizens' needs during a crisis.

Idioma originalInglés
Título de la publicación alojada2024 10th International Conference on eDemocracy and eGovernment, ICEDEG 2024
EditoresLuis Teran, Luis Teran, Jhonny Pincay, Jhonny Pincay, Carmen Vaca, Daniel Riofrio
EditorialInstitute of Electrical and Electronics Engineers Inc.
Edición2024
ISBN (versión digital)9798350365535
DOI
EstadoPublicada - 2024
Publicado de forma externa
Evento10th International Conference on eDemocracy and eGovernment, ICEDEG 2024 - Lucerne, Suiza
Duración: 24 jun. 202426 jun. 2024

Conferencia

Conferencia10th International Conference on eDemocracy and eGovernment, ICEDEG 2024
País/TerritorioSuiza
CiudadLucerne
Período24/06/2426/06/24

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© 2024 IEEE.

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